{"id":13005,"date":"2018-11-19T01:00:00","date_gmt":"2018-11-18T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/8fc1aa75ac\/"},"modified":"2018-12-03T17:09:36","modified_gmt":"2018-12-03T09:09:36","slug":"8fc1aa75ac","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=13005","title":{"rendered":"\u6210\u90fd\u8bb2\u5ea7\u9884\u544a | \u5f20\u6c5f\uff1a\u590d\u6742\u7f51\u7edc\u4e0a\u7684\u6df1\u5ea6\u5b66\u4e60"},"content":{"rendered":"<div class=\"bpp-post-content\">\n<p style=\"text-align: center\">\n<p style=\"text-align: center\"><span>11\u670823\u65e5\uff08\u5468\u4e94\uff09\u8bb2\u5ea7\uff1a<\/span><\/p>\n<section>\n<section style=\"margin-top: 20px\">\n<section style=\"min-width: 200px;min-height: 40px;border-right: 2px solid #e6e6e6;border-bottom: 2px solid #e6e6e6;padding: 0 5px 5px 0\">\n<section>\n<section><\/section>\n<section style=\"color: #4f4f4f;line-height: 30px\">\n<section><strong><span>\u590d\u6742\u7f51\u7edc\u4e0a\u7684\u6df1\u5ea6\u5b66\u4e60<\/span><\/p>\n<p><span>Deep Learning on Complex Networks<\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<div class=\"post-image\"><img style=\"width: 198px;height: 198px\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/11\/swarma0-1542632418.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/div>\n<\/p>\n<p><strong><span>\u5f20\u6c5f<\/span><\/strong><span style=\"font-size: 15px\"> | \u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08<\/span><\/p>\n<p><span style=\"font-size: 15px\">\u96c6\u667a\u4ff1\u4e50\u90e8\u3001\u96c6\u667a\u5b66\u56ed\u521b\u59cb\u4eba\uff0c<\/span><\/p>\n<p><span style=\"letter-spacing: 0.544px;font-size: 15px\">\u817e\u8baf<\/span><span style=\"font-size: 15px;letter-spacing: 0.544px\">\u7814\u7a76\u9662\u7279\u8058\u987e\u95ee<\/span><\/p>\n<section>\n<section>\n<section>\n<section><strong><\/p>\n<p><span><strong>\u8bb2\u5ea7\u6458\u8981<span><\/span><\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u5982\u4eca\uff0c\u968f\u7740\u786c\u4ef6\u7684\u8fdb\u6b65\u548c\u7b97\u6cd5\u7684\u53d1\u5c55\uff0c\u6df1\u5ea6\u5b66\u4e60\u5df2\u7ecf\u6210\u529f\u5730\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u6e38\u620f\u4e0e\u535a\u5f08\u7b49\u9886\u57df\u7a81\u98de\u731b\u8fdb\uff0c\u5e76\u6e17\u900f\u5230\u4e86\u6211\u4eec\u7684\u65e5\u5e38\u751f\u6d3b\u4e2d\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u90a3\u4e48\uff0c\u6211\u4eec\u6709\u6ca1\u6709\u53ef\u80fd\u5c06\u8fd9\u79cd\u6280\u672f\u501f\u9274\u5230\u590d\u6742\u7f51\u7edc\u7684\u7814\u7a76\u4e4b\u4e2d\u5462\uff1f<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u8fd1\u5e74\u6765\uff0c\u4eba\u4eec\u51ed\u501f\u7740\u7f51\u7edc\u5d4c\u5165\uff08Network Embedding\uff09\u3001\u56fe\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Graph Convolutional Neural Network\uff09\u3001\u56fe\u6ce8\u610f\u529b\u6a21\u578b\uff08Graph Attention Network\uff09\u7b49\u65b0\u6280\u672f\uff0c\u5df2\u7ecf\u5f00\u53d1\u4e86\u82e5\u5e72\u56fe\u7ed3\u6784\u4e0a\u7684\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u5e76\u53d6\u5f97\u4e86\u4e00\u5b9a\u7684\u5e94\u7528\u6210\u679c\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u672c\u8bb2\u5ea7\u5c06\u5bf9\u8fd9\u4e9b<\/span><span>\u7b97\u6cd5\u4ee5\u53ca\u5e94\u7528<\/span><span style=\"font-size: 15px\">\uff0c\u5305\u62ec\u5404\u5f0f\u5404\u6837\u7684\u7f51\u7edc\u5d4c\u5165\u7b97\u6cd5\u3001\u8282\u70b9\u5206\u7c7b\u95ee\u9898\u3001\u94fe\u8def\u9884\u6d4b\u95ee\u9898\u3001\u56fe\u5206\u7c7b\u95ee\u9898\u3001\u7f51\u7edc\u52a8\u529b\u5b66\u9884\u6d4b\u95ee\u9898\u7b49\u505a\u7b80\u5355\u4ecb\u7ecd\uff0c\u5e76\u5bf9\u7f51\u7edc\u4e0a\u7684<\/span><span>\u6df1\u5ea6\u5b66\u4e60\u95ee\u9898<\/span><span style=\"font-size: 15px\">\u8fdb\u884c\u4e86\u5c55\u671b\u3002<\/span><\/p>\n<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><strong><span>Abstract<\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">Nowadays, deep learning technology has achieved great progresses in image recognition, voice recognition, natural language processing, and games playing thanks to the fast development of hardwares and algorithms.<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">Can we apply these techniques on complex networks?<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">Recently, people have invented some new approaches such as network embedding, graph convolutional neural network, graph attention network, etc, and developped deep learning algorithms and applications on graphs.<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">This talk will introduce these new progresses, including various network embedding algorithms and applications, node classification, link prediction, graph classification, and dynamics prediction problems. We futhur make perspective on the new horizon of the deep learning applications on networks.<\/span><\/p>\n<section>\n<\/p>\n<section>\n<section>\n<section><strong><\/p>\n<p><span><strong>\u8bb2\u5ea7\u4fe1\u606f<span><\/span><\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-left: 8px;margin-right: 8px\"><strong><span style=\"font-size: 15px\">\u65f6\u95f4\uff1a<\/span><\/strong><span style=\"font-size: 15px\">11\u670823\u65e5\u4e0a\u534810:00-12:00\uff08\u5468\u4e94\uff09<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px\"><strong><span style=\"font-size: 15px\">\u5730\u70b9\uff1a<\/span><\/strong><span style=\"font-size: 15px\">\u7535\u5b50\u79d1\u6280\u5927\u5b66\u6c99\u6cb3\u6821\u533a\u901a\u4fe1\u697c818<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px\"><strong><span style=\"font-size: 15px\">\u626b\u7801\u62a5\u540d\uff1a<\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;text-align: center\"><span style=\"text-align: center;font-size: 15px\"><\/span><img loading=\"lazy\" height=\"260px\" width=\"260px\" style=\"text-align: center;width: 173px;height: 173px\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/11\/swarma6-1542632418.png\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/p>\n<p><strong><span style=\"font-size: 15px\"><\/span><\/strong><\/p>\n<blockquote>\n<p style=\"text-align: left\"><span>\u62a5\u540d\u8868\u5730\u5740\uff1a<\/span><\/p>\n<\/blockquote>\n<blockquote>\n<p style=\"text-align: left\"><span>https:\/\/campus.swarma.org\/tablepublish\/tengxun?activity_id=580<\/span><\/p>\n<\/blockquote>\n<p style=\"text-align: center\"><span><\/span><\/p>\n<p style=\"text-align: center\"><span><\/span><\/p>\n<p style=\"text-align: center\"><span><\/span><\/p>\n<p style=\"text-align: center\"><span>11\u670822\u65e5\uff08\u5468\u56db\uff09\u8bb2\u5ea7\uff1a<\/span><\/p>\n<section>\n<section style=\"margin-top: 20px\">\n<section style=\"min-width: 200px;min-height: 40px;border-right: 2px solid #e6e6e6;border-bottom: 2px solid #e6e6e6;padding: 0 5px 5px 0\">\n<section>\n<section><\/section>\n<section style=\"line-height: 30px\">\n<section><span style=\"color:#7b0c00\"><strong>AIS\u6210\u90fd\u7ad9\uff1a\u6570\u636e\u65f6\u4ee3\u4e0b\uff0c<\/strong><\/span><\/section>\n<section><strong>\u793e\u4f1a\u7ecf\u6d4e\u53d1\u5c55\u7684\u65b0\u8303\u5f0f\u53ca\u65b0\u673a\u9047<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><span style=\"font-size: 15px\"><\/span><\/p>\n<p><span style=\"font-size: 15px\"><\/span><\/p>\n<p><span style=\"font-size: 15px\"><span>11\u670822\u65e5\uff0c<\/span><strong>\u817e\u8baf\u7814\u7a76\u9662\u4e0e\u96c6\u667a\u4ff1\u4e50\u90e8<\/strong><span>\u8054\u5408\u4e3e\u529e\u7684\u201c<\/span><strong>AI&amp;Society<\/strong><span>\u201d\u7684\u7cfb\u5217\u5b66\u672f\u6c99\u9f99\u6d3b\u52a8\uff0c\u9996\u6b21\u6765\u5230\u6210\u90fd\uff01<\/span><\/span><\/p>\n<p><span style=\"font-size: 15px\"><span><\/span><\/span><\/p>\n<p><span>\u626b\u7801\u5373\u53ef\u62a5\u540d<\/span><\/p>\n<p style=\"text-align: center\"><img src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/11\/swarma9-1542632419.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/p>\n<p><span>\u62a5\u540d\u8868\u5730\u5740\uff1a<\/span><\/p>\n<p><span>http:\/\/campus.swarma.org\/tablepublish\/tengxun?activity_id=579<\/span><\/p>\n<p><span><\/span><\/p>\n<p><span><\/span><\/p>\n<section><span><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"105\">\n<p><span style=\"font-size: 15px\"><strong>\u5f00\u59cb\u65f6\u95f4<\/strong><\/span><\/p>\n<\/td>\n<td width=\"210\">\n<p><span style=\"font-size: 15px\"><strong>\u6d3b\u52a8\u5185\u5bb9<\/strong><\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span style=\"font-size: 15px\"><strong>\u65f6\u957f<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>14:30<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u5f00\u573a\u4ecb\u7ecd<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>10\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>14:40<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u5415\u7433\u5a9b | \u4e3b\u9898\u6f14\u8bb2<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>40\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>15:20<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u4e92\u52a8\u63d0\u95ee<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>10\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>15:30<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u9ad8\u89c1 | \u4e3b\u9898\u6f14\u8bb2<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>30\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>16:00<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u4e92\u52a8\u63d0\u95ee<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>10\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>16:10<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u8336\u6b47<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>20\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>16:30<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u5468\u6d9b | \u4e3b\u9898\u6f14\u8bb2<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>50\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>17:20<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u4e92\u52a8\u63d0\u95ee<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>10\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"125\">\n<p><span>17:30<\/span><\/p>\n<\/td>\n<td width=\"230\">\n<p><span>\u5408\u5f71<\/span><\/p>\n<\/td>\n<td width=\"121\">\n<p><span>10\u5206\u949f<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/span><\/section>\n<\/p>\n<section>\n<p><strong><span>11\u670822\u65e5\uff0c\u6210\u90fd\u7ad9\u89c1\uff01<\/span><\/strong><\/p>\n<p><strong><span><\/span><\/strong><\/p>\n<section>\n<hr \/>\n<div class=\"post-image\"><img width=\"100%\" style=\"letter-spacing: 0.5px;height: auto !important;width: 64px !important\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/11\/swarma2-1542632420.gif\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/div>\n<p style=\"clear: both;min-height: 1em\">\n<section>\n<section style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px;text-align: center\">\n<section style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px\">\n<section>\n<section style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 15px\">\n<section>\n<p><strong><span>\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n<p><strong><span>\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org<\/span><\/strong><\/p>\n<section style=\"margin-right: 0.5em;margin-left: 0.5em\">\n<h1 style=\"margin-top: 10px;margin-bottom: 10px;font-size: 16px;line-height: 1.75em\"><strong><strong><span><span>\u25c6<\/span><span>\u25c6<\/span><span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n<p><span><strong><span style=\"font-size: 14px\">\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n<p><span><strong><span style=\"font-size: 14px\"><\/span><\/strong><\/span><\/p>\n<p><span><strong><span style=\"font-size: 14px\">\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n<section>\n<div class=\"post-image\"><img width=\"auto\" style=\"height: auto !important;width: auto !important\" src=\"http:\/\/swarma.org\/wp-content\/uploads\/2018\/11\/swarma6-1542632420.jpeg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/div>\n<\/section>\n<p style=\"clear: both;min-height: 1em\"><span style=\"font-size: 14px\">\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<blockquote class=\"keep-source\">\n<p>\u539f\u6587\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff08                         \u96c6\u667a\u4ff1\u4e50\u90e8                      \uff09\uff1a<a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?timestamp=1542632415&amp;src=3&amp;ver=1&amp;signature=6rRO2CVs*WYbZl7O1c70hB1fkL-TmpcGHNSbifO3SbHqDyF3o5cahLguihnHSV0qw4e471ArWshUfXdfntDMJ*c5Nfx4cieSda68TMgUYMiotHKz3Qc2CbYrLKPzA2C*8qh6z96eIjQSmJM0M2WdBGM-wwJrYJ6Ta5whcGggUoM=\">\u96c6\u667a<\/a><\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>11\u670823\u65e5\uff08\u5468\u4e94\uff09\u8bb2\u5ea7\uff1a \u590d\u6742\u7f51\u7edc\u4e0a\u7684\u6df1\u5ea6\u5b66\u4e60 Deep Learning on Complex Networks \u5f20\u6c5f | \u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08 \u96c6\u667a\u4ff1\u4e50\u90e8\u3001\u96c6\u667a\u5b66\u56ed\u521b\u59cb\u4eba\uff0c \u817e\u8baf\u7814\u7a76\u9662\u7279\u8058\u987e\u95ee \u8bb2\u5ea7\u6458\u8981 \u5982\u4eca\uff0c\u968f\u7740\u786c\u4ef6\u7684\u8fdb\u6b65\u548c\u7b97\u6cd5\u7684\u53d1\u5c55\uff0c\u6df1\u5ea6\u5b66\u4e60\u5df2\u7ecf\u6210\u529f\u5730\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6&#8230;<\/p>\n","protected":false},"author":1,"featured_media":13007,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[23],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/13005"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=13005"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/13005\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/13007"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13005"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13005"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13005"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=13005"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}